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A transatlantic survey of nutrition practice in acute pancreatitis

2012· article· en· W1545781988 on OpenAlexaboutno aff
Sinead N. Duggan, Niamh Smyth, Mark Sullivan, Sinéad Feehan, Paul F. Ridgway, Kevin C. Conlon

Bibliographic record

VenueJournal of Human Nutrition and Dietetics · 2012
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
FundersIntensive Care SocietyHealth Research BoardBritish Dietetic Association
KeywordsMedicineAcute pancreatitisParenteral nutritionPancreatitisMalnutritionEnteral administrationFamily medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Many guidelines exist for the nutritional management of acute pancreatitis; however, little is known regarding current practice. We aimed to investigate feeding practices, including the use of parenteral/enteral nutrition. METHODS: The study design was a cross-sectional, descriptive survey. Electronic surveys were sent to dietitians in the UK, the Republic of Ireland and Canada. Of 253 dietitians surveyed, 204 saw patients with acute pancreatitis regularly or occasionally and were included in the analyses. RESULTS: Most dietitians (92.8%) considered early feeding to mean <48 h after presentation. Over half (54.2%) favoured early feeding in severe disease, less in obesity (42%) and more with pre-existing malnutrition (81.9%). There was a tendency to feed earlier in university hospitals (P = 0.015), especially in obesity (P = 0.011). There was a tendency towards enteral (versus parenteral) nutrition in university hospitals (P = 0.000). The majority preferred the jejunal route (64.2%), although this was lower in the UK (43.8%) than in Canada (77.8%) or Ireland (54.2%). Under one-quarter of UK dietitians (23.2%) reported the existence of a pancreatic multidisciplinary team in their institutions, although this was lower in Ireland and Canada. CONCLUSIONS: Despite guidelines, there are gaps in the nutritional management of acute pancreatitis, including a continued reliance on parenteral feeding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.338
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2012
Admission routes1
Has abstractyes

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